Recent advancements in emerging technologies for healthcare management systems: a survey
In recent times, the growth of the Internet of Things (IoT), artificial intelligence (AI), and
Blockchain technologies have quickly gained pace as a new study niche in numerous …
Blockchain technologies have quickly gained pace as a new study niche in numerous …
Applications of artificial intelligence and big data analytics in m‐health: A healthcare system perspective
ZF Khan, SR Alotaibi - Journal of healthcare engineering, 2020 - Wiley Online Library
Mobile health (m‐health) is the term of monitoring the health using mobile phones and
patient monitoring devices etc. It has been often deemed as the substantial breakthrough in …
patient monitoring devices etc. It has been often deemed as the substantial breakthrough in …
A survey on network methodologies for real-time analytics of massive IoT data and open research issues
With the widespread adoption of the Internet of Things (IoT), the number of connected
devices is growing at an exponential rate, which is contributing to ever-increasing, massive …
devices is growing at an exponential rate, which is contributing to ever-increasing, massive …
Smart health: Big data enabled health paradigm within smart cities
MI Pramanik, RYK Lau, H Demirkan… - Expert Systems with …, 2017 - Elsevier
In the era of “big data”, recent developments in the area of information and communication
technologies (ICT) are facilitating organizations to innovate and grow. These technological …
technologies (ICT) are facilitating organizations to innovate and grow. These technological …
Smart home-based IoT for real-time and secure remote health monitoring of triage and priority system using body sensors: Multi-driven systematic review
Abstract The Internet of Things (IoT) has been identified in various applications across
different domains, such as in the healthcare sector. IoT has also been recognised for its …
different domains, such as in the healthcare sector. IoT has also been recognised for its …
Healthcare 4.0: trends, challenges and research directions
GL Tortorella, FS Fogliatto… - … Planning & Control, 2020 - Taylor & Francis
This paper aims at examining the trends, challenges and theoretical gaps in the
implementation of Healthcare 4.0 (H4. 0) based on a scoping review of the literature. For …
implementation of Healthcare 4.0 (H4. 0) based on a scoping review of the literature. For …
Harnessing big data analytics for healthcare: A comprehensive review of frameworks, implications, applications, and impacts
Big Data Analytics (BDA) has garnered significant attention in both academia and industries,
particularly in sectors such as healthcare, owing to the exponential growth of data and …
particularly in sectors such as healthcare, owing to the exponential growth of data and …
Machine intelligence and medical cyber-physical system architectures for smart healthcare: Taxonomy, challenges, opportunities, and possible solutions
Hospitals use medical cyber-physical systems (MCPS) more often to give patients quality
continuous care. MCPS isa life-critical, context-aware, networked system of medical …
continuous care. MCPS isa life-critical, context-aware, networked system of medical …
A framework for pandemic prediction using big data analytics
Abstract IoT (Internet of Things) devices and smart sensors are used in different life sectors,
including industry, business, surveillance, healthcare, transportation, communication, and …
including industry, business, surveillance, healthcare, transportation, communication, and …
[HTML][HTML] Implications of big data analytics in developing healthcare frameworks–A review
V Palanisamy, R Thirunavukarasu - … of King Saud University-Computer and …, 2019 - Elsevier
The domain of healthcare acquired its influence by the impact of big data since the data
sources involved in the healthcare organizations are well-known for their volume …
sources involved in the healthcare organizations are well-known for their volume …